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作 者:孙磊[1] 詹宏伟[1] Sun Lei;Zhan Hongwei
出 处:《外语与翻译》2020年第3期60-66,I0001,共8页Foreign Languages and Translation
摘 要:数据可视化分析是近年来热门的数据分析方法之一。本文收集了1998-2019年CSSCI数据库中有关认知语言学研究的文献,并以此作为研究的基本语料。利用CiteSpace和VOSviewer软件进行可视化处理。从7个维度对数据进行了全面的文献计量学的分析。研究发现:1)近年来,国内认知语言学发展相对滞缓,新的研究领域有待开拓;2)国内认知语言学研究主要话题是:隐喻、构式等,在话语分析、语言教学、文化、语料库等领域的研究都有所不足;3)国内认知语言学研究方法仍以内省法为主,新的研究方法,如量化方法有待完善。In recent years, visualized analysis has become one of the most burgeoning data analysis methods. In this study, data concerning cognitive linguistics were collected from CSSCI database, ranging from 1998 to 2019. The data were visualized by Cite Space and VOSviewer. In order to investigate the status quo of cognitive linguistics in China, this paper has provided a comprehensive visualized analysis of the data in seven dimensions, including the number of yearly published papers, the distribution of relevant academic journals, an analysis of keywords, an analysis of co-authorship, an analysis of reference cocitation, a clustering of references and an investigation of burstness of the papers. The study reveals that: 1) the development of cognitive linguistics in China has become relatively smooth since 2009;2) the research into discourse analysis, language teaching, culture and corpus has been less undertaken by Chinese academics compared with international cognitive research;3) the research methods in cognitive linguistics in China are mainly introspective, only a tiny proportion of quantitative methods is employed.
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